Compare Datadog and Monte Carlo 
At a Glance
Market Segments
Mid-Market (48.5% of reviews)
Mid-Market (48.0% of reviews)
Entry-Level Pricing
$0 Per host, per month
Contact Us
Datadog
Star Rating
(541)4.3 out of 5
Market Segments
Mid-Market (48.5% of reviews)
Entry-Level Pricing
$0 Per host, per month
Free Trial is available
Browse all 3 pricing plansMonte Carlo
Star Rating
(356)4.4 out of 5
Market Segments
Mid-Market (48.0% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Datadog excels in its Alerting functionality, scoring 9.2, which reviewers mention provides timely notifications and a robust multi-channel alerting system. In contrast, Monte Carlo's alerting scored lower at 8.8, with users noting that while it is effective, it lacks some of the advanced features found in Datadog.
- Reviewers mention that Monte Carlo shines in Quality of Support, achieving a score of 9.3, with many users praising the responsiveness and helpfulness of the support team. Datadog, while still strong at 8.3, has received feedback indicating that response times can be slower during peak hours.
- G2 users highlight Datadog's superior Logging capabilities, scoring 9.3, which reviewers say allows for comprehensive data collection and analysis. Monte Carlo, on the other hand, scored 7.9 in this area, with users mentioning that its logging features are less extensive and can be limiting for complex environments.
- Users on G2 report that Datadog's Real-Time Monitoring capabilities are exceptional, with a score of 9.2, allowing for immediate insights into system performance. Monte Carlo, while effective, scored 8.7, and users mention that it may not provide the same level of immediacy in monitoring.
- Reviewers mention that Monte Carlo's Data Quality Monitoring feature is a standout, scoring 8.9, with users appreciating its focus on ensuring data integrity. Datadog, while strong in other areas, does not emphasize data quality to the same extent, leading to a lower score in this specific functionality.
- Users say that Datadog's Multi-Cloud Management capabilities, scoring 6.7, are less robust compared to Monte Carlo's offerings, which scored 8.5. Reviewers mention that Monte Carlo provides a more seamless experience for managing resources across different cloud environments.
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Pricing
Entry-Level Pricing
Datadog
Free
$0
Per host, per month
Core collection and visualization features
- Discussion Group Supported
- 1-Day Metric Retention
- Up to 5 Hosts
Monte Carlo
Start
Contact Us
All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Datadog
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.7
465
8.3
332
Ease of Use
8.2
469
8.3
338
Ease of Setup
8.4
244
8.3
219
Ease of Admin
8.3
212
8.6
127
Quality of Support
8.3
413
9.1
304
Has the product been a good partner in doing business?
8.5
199
9.5
129
Product Direction (% positive)
8.9
450
9.1
327
Features by Category
Operations
7.3
5
Not enough data
8.0
5
Not enough data
6.7
7
Not enough data
Not enough data
Not enough data
Cost Optimization
7.6
7
Not enough data
7.3
5
Not enough data
Not enough data
Not enough data
Administration
8.0
5
Not enough data
7.8
6
Not enough data
Not enough data
Not enough data
Functionality
8.6
43
Not enough data
9.2
57
Not enough data
9.0
51
Not enough data
8.7
44
Not enough data
8.8
46
Not enough data
8.8
39
Not enough data
Functionality
9.2
95
9.1
219
9.1
96
8.8
218
9.3
81
7.8
200
8.9
96
8.3
208
8.8
80
7.7
203
8.9
85
7.5
205
Functionality
9.2
46
Not enough data
9.2
51
Not enough data
8.1
37
Not enough data
8.4
39
Not enough data
Management
8.6
43
Not enough data
9.0
44
Not enough data
8.7
41
Not enough data
Monitoring
8.9
108
Not enough data
8.6
104
Not enough data
8.8
99
Not enough data
8.7
118
Not enough data
Administration
8.5
104
Not enough data
8.5
84
Not enough data
8.2
83
Not enough data
Analysis
8.5
102
Not enough data
8.8
106
Not enough data
Feature Not Available
Not enough data
Automation
Feature Not Available
Not enough data
8.0
5
Not enough data
Feature Not Available
Not enough data
8.6
7
Not enough data
Functionality
8.8
8
Not enough data
7.7
8
Not enough data
7.6
7
Not enough data
9.2
8
Not enough data
Incident Management
8.5
10
Not enough data
9.2
10
Not enough data
9.0
10
Not enough data
Functionality
9.2
14
Not enough data
8.6
15
Not enough data
9.4
19
Not enough data
Issue Resolution
9.1
17
Not enough data
9.2
14
Not enough data
Feature Not Available
Not enough data
Management
8.6
17
Not enough data
9.6
17
Not enough data
8.9
17
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Visibility
8.8
76
Not enough data
9.0
75
Not enough data
8.8
69
Not enough data
Monitoring and Management
8.2
71
Not enough data
8.6
73
Not enough data
8.9
77
Not enough data
Visibility
8.8
67
Not enough data
8.6
61
Not enough data
8.1
59
Not enough data
Monitoring and Management
8.5
60
Not enough data
7.5
55
Not enough data
8.3
57
Not enough data
9.0
60
Not enough data
8.8
56
Not enough data
8.2
61
Not enough data
Cloud environment support
8.0
53
Not enough data
7.9
50
Not enough data
Functionality
8.4
32
Not enough data
8.6
32
Not enough data
8.8
34
Not enough data
7.8
28
Not enough data
Management
8.4
31
Not enough data
8.5
34
Not enough data
8.1
31
Not enough data
9.0
36
Not enough data
Data Sources
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Metrics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Device Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Provisioning
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Preparation
8.5
53
|
Verified
Not enough data
8.4
52
|
Verified
Not enough data
7.9
50
|
Verified
Not enough data
7.8
50
|
Verified
Not enough data
Analysis
8.5
48
|
Verified
Not enough data
8.4
55
|
Verified
Not enough data
8.7
56
|
Verified
Not enough data
8.5
59
|
Verified
Not enough data
8.7
49
|
Verified
Not enough data
8.7
47
|
Verified
Not enough data
Visualization
8.9
61
|
Verified
Not enough data
8.7
51
|
Verified
Not enough data
Monitoring
8.5
93
Not enough data
8.9
85
Not enough data
8.9
95
Not enough data
7.3
80
Not enough data
8.4
86
Not enough data
Response
8.8
102
Not enough data
8.8
90
Not enough data
7.9
83
Not enough data
Performance
8.4
97
Not enough data
8.2
83
Not enough data
Functionality
8.4
85
Not enough data
8.0
77
Not enough data
Feature Not Available
Not enough data
8.5
91
Not enough data
Data Management
Not enough data
8.5
40
Not enough data
8.5
36
Not enough data
8.8
40
Not enough data
7.8
38
Analytics
Not enough data
7.6
38
Not enough data
7.5
36
Monitoring and Management
Not enough data
9.1
41
Not enough data
7.5
37
Cloud Deployment
Not enough data
7.4
33
Not enough data
6.8
31
Generative AI
Not enough data
6.1
25
Not enough data
5.9
25
Alerts management
8.7
36
Not enough data
8.0
38
Not enough data
8.6
40
Not enough data
Monitoring
8.7
31
Not enough data
9.2
34
Not enough data
8.7
36
Not enough data
9.2
31
Not enough data
Automation
8.5
31
Not enough data
8.6
29
Not enough data
Analysis
8.2
34
Not enough data
8.4
37
Not enough data
9.3
36
Not enough data
8.5
35
Not enough data
Issue Resolution
8.4
30
Not enough data
7.7
33
Not enough data
8.6
28
Not enough data
Functionality
Not enough data
7.3
229
Not enough data
8.8
250
Not enough data
8.2
236
Not enough data
8.1
236
Management
Not enough data
8.8
246
Not enough data
7.8
225
Not enough data
8.3
240
Not enough data
8.0
241
Not enough data
8.2
244
Generative AI
Not enough data
5.9
178
Generative AI
Feature Not Available
Not enough data
Data Management - Observability Pipeline
Not enough data
Not enough data
7.5
6
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
6.4
6
Not enough data
Performance - Observability Pipeline
5.7
5
Not enough data
8.1
6
Not enough data
6.7
6
Not enough data
AI - Observability Pipeline
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance - Observability Pipeline
Not enough data
Not enough data
Not enough data
Not enough data
Response
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.0
40
Not enough data
Records
9.3
47
Not enough data
9.0
45
Not enough data
8.5
52
Not enough data
Management
9.3
48
Not enough data
8.4
44
Not enough data
Feature Not Available
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Security Information and Event Management (SIEM)Hide 10 FeaturesShow 10 Features
8.9
105
Not enough data
Network Management
9.2
10
Not enough data
8.7
10
Not enough data
9.4
11
Not enough data
Incident Management
9.2
11
Not enough data
9.2
10
Not enough data
9.1
11
Not enough data
Security Intelligence
8.2
11
Not enough data
8.3
9
Not enough data
9.2
10
Not enough data
8.8
12
Not enough data
Functionality
Not enough data
8.1
114
Not enough data
6.5
111
Not enough data
6.7
108
Not enough data
6.1
105
Not enough data
6.4
106
Management
Not enough data
7.4
107
Not enough data
7.4
107
Not enough data
7.9
108
Not enough data
7.6
109
Not enough data
7.6
106
Generative AI
Not enough data
5.4
90
Not enough data
5.4
89
Categories
Categories
Shared Categories
Datadog and Monte Carlo are categorized as Database Monitoring
Unique Categories
Datadog is categorized as Observability Pipeline, Observability Solution Suites, Enterprise Monitoring, Server Monitoring, Log Monitoring, AIOps Platforms, Network Traffic Analysis (NTA), IoT Device Management Platforms, IoT Analytics Platforms, Website Monitoring, Cloud Infrastructure Monitoring, IT Alerting, Container Monitoring, Log Analysis, Incident Response, Security Information and Event Management (SIEM), API Marketplace, Application Performance Monitoring (APM), Network Monitoring, and Cloud Cost Management
Reviews
Reviewers' Company Size
Datadog
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
20.2%
Computer Software
17.9%
Financial Services
8.1%
Internet
5.1%
Retail
3.2%
Other
45.5%
Financial Services
14.2%
Information Technology and Services
10.2%
Computer Software
9.7%
Online Media
4.0%
Manufacturing
3.7%
Other
58.2%
Most Helpful Reviews
Datadog
Most Helpful Favorable Review
Debabrata P.
Verified User in Information Technology and Services
With datadog you can quickly get up and running. May be the easiest among all out there. Since it enables you to put everything into one dashboard irrespective of their zone,VPC or environment type we can have one bookmarked place to look at for the first...
Most Helpful Critical Review
Verified User in Computer Software
As described in the previous section, the lack of support resulting in us not being able to resolve a deployment mistake and resulting billing issue.
Monte Carlo
Most Helpful Favorable Review
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Most Helpful Critical Review
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Debabrata P.
Verified User in Information Technology and Services
With datadog you can quickly get up and running. May be the easiest among all out there. Since it enables you to put everything into one dashboard irrespective of their zone,VPC or environment type we can have one bookmarked place to look at for the first...
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Verified User in Computer Software
As described in the previous section, the lack of support resulting in us not being able to resolve a deployment mistake and resulting billing issue.
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Discussions
Does it preserves history of logs?
1 comment
AN
Depends on your plan, log retention can be 7,15, 30 days etc, for long term you need to setup s3 archivingRead more
What is the use of Datadog?
1 comment
CJ
Datadog is a software platform that facilitates data sharing across various teams within an organization, thereby breaking down silos between development,...Read more
Does Datadog use AWS?
1 comment
IG
Yes, the backbone of Datadog infrastructure is sitting within AWS.Read more
What is Monte Carlo software?
1 comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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